Publications by authors named "J R Vale"

Autogenous arteriovenous fistula (AVF) is the vascular access of choice for chronic kidney disease to patients requiring hemodialysis. However, there still needs to be more consensus on whether the best surgical approach is an end-of-vein to side-of-artery (ETS) or a side-of-vein to side-of-artery (STS) anastomosis. This study aims to compare venous maturation rates, mid-term patency and post-operative steal syndrome rates between ETS and STS techniques for arteriovenous fistulas.

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The digital transformation of pathology, through automation and computational tools, addresses current challenges in the field. This study evaluates Paige Pan Cancer, a novel artificial intelligence tool based on the Virchow foundation model, designed to flag invasive cancer in haematoxylin and eosin-stained slides from 16 primary tissue types. Using 62 cases from the Ipatimup Pathology Laboratory, we found the tool had a sensitivity of 93.

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Introduction: Knowledge about the effect of disease modifying treatment (DMT) in late-onset multiple sclerosis (LOMS, onset ≥50 years-old) is scarce. This study aims to evaluate the association between DMT use and multiple sclerosis (MS) evolution in a LOMS cohort.

Methods: This multicentre, retrospective and observational study included LOMS patients with ≥2 years of follow-up.

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Background: The MDS-UPDRS has been available in English since 2008, showing satisfactory clinimetric results and being proposed as the new official benchmark scale for Parkinson's disease (PD), being cited as a core instrument for PD in the National Institutes of Neurological Disorders and Stroke Common Data Elements program. For this reason, the MDS created guidelines for development of MDS-UPDRS official, clinimetrically validated translations.

Objective: This study presents the formal process used to obtain the officially approved Portuguese version of the MDS-UPDRS.

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Background: Myelin oligodendrocyte glycoprotein (MOG) antibody-associated disease (MOGAD) is a heterogeneous entity with either a monophasic or relapsing course. Well-established predictors of relapsing disease are lacking.

Objective: Identifying predictors of relapsing MOGAD, particularly at disease onset.

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